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Demand Reporting Data Scientist
Anglian Water Services. Build and develop models feeding regulatory reporting and the consumption component of the water balance, including household and non-household consumption and night usage .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical analysis, predictive modeling, and machine learning techniques, with strong capabilities in Python and SQL for data manipulation and analysis. Proficient in translating complex data findings into actionable insights for stakeholders while adhering to data ethics and governance standards.
Highest-signal resume keywords
Statistical AnalysisPredictive ModelingPython ProgrammingSQL Data ManipulationPower BI Visualization
ATS Keywords
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Hard Skills
Statistical AnalysisPredictive ModelingMachine Learning TechniquesData PreparationData MiningLinear RegressionMultivariate RegressionDecision TreesMonte Carlo AnalysisNeural Networks
Soft Skills
Strong Communication SkillsCuriosityOwnershipCommitment to Continuous Development
Tools & Technologies
Power BIMicrosoft AzureDatabricksData PipelinesAutomated Workflows
Certifications & Qualifications
Level 5 Qualification in Data ScienceComputer ScienceStatisticsMathematics
Industry Keywords
Water Industry RegulationConsumption ReportingData ProtectionGovernance PoliciesLeakage
Tech Stack
Tools & technologiesAzureCloudPythonSQL
About the role
Key responsibilities & impact- Build and develop models feeding regulatory reporting and the consumption component of the water balance, including household and non-household consumption and night usage
- Apply quality assurance techniques and automation processes to Anglian Water's smart meter data
- Develop statistical and predictive models for consumption, per capita consumption, business demand and leakage
- Conduct exploratory analysis, data mining and empirical analysis to identify trends, drivers and opportunities
- Apply linear and multivariate regression, decision trees, Monte Carlo analysis and neural networks to complex business problems
- Define and apply performance and accuracy measures to validate models and communicate limitations
- Translate complex findings into visualisations and practical recommendations for operational, strategic and regulatory stakeholders
- Identify, cleanse, combine and prepare large, high-frequency datasets
- Build reusable checks, automated workflows and repeatable data preparation processes
- Create and maintain data pipelines with Data Engineers, supporting testing and production deployment
- Collaborate with subject matter experts, reporting teams and data squads to deliver measurable business value
- Explore emerging data science, machine learning and artificial intelligence approaches while maintaining data ethics, privacy and governance standards
- Apply current water industry regulation, reporting requirements, data protection and governance policies
Requirements
What you’ll need- A Level 5 or higher qualification in Data Science, Computer Science, Statistics, Mathematics or a related quantitative subject, or equivalent professional experience
- A portfolio of data science solutions demonstrating technical contribution and outcomes delivered
- Strong Python and SQL capability, with experience preparing, manipulating and analysing complex datasets
- Practical experience applying statistical analysis, predictive modelling and machine learning techniques
- Strong Power BI experience, including data discovery, semantic models, visualisation and insight communication
- Experience working collaboratively in cross-functional teams and translating business problems into analytical solutions
- Strong written, verbal and visual communication skills, with the ability to explain technical approaches to non-technical audiences
- Awareness of data ethics, privacy considerations and relevant data protection requirements
- Curiosity, ownership and commitment to continuous technical development
- Desirable: Experience using Microsoft Azure, Databricks or comparable cloud data platforms
- Desirable: Experience collaborating on shared codebases and working with DevOps, Agile or Waterfall delivery methods
- Desirable: Knowledge of the water industry, consumption reporting, leakage or a related engineering domain
Benefits
Comp & perks- 26 days annual leave plus bank holidays (increasing with length of service)
- Flexible working options
- Private health care
- Competitive pension scheme - Anglian Water double-matches contributions up to 7%
- Life assurance at eight times your salary
- Annual bonus
- Potential funded car allowance depending on evidenced business mileage
- Personal medical assessments
- Virtual GP service
- Cancer screening
- Financial wellbeing support and salary finance benefits
- Lifestyle savings including discounts on retail, travel and utilities
- Employee Assistance Programme
- Volunteer days
- Double Matched Pension Scheme (up to 21% combined)